Anomaly Classification On Goodsad
Metrics
AUPR
AUROC
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AUPR | AUROC |
|---|---|---|
| towards-total-recall-in-industrial-anomaly | 86.1 | 85.5 |
| towards-total-recall-in-industrial-anomaly | 83.3 | 81.4 |
| simplenet-a-simple-network-for-image-anomaly | 78.7 | 75.3 |
| anomaly-detection-via-reverse-distillation | 68.2 | 66.5 |
| draem-a-discriminatively-trained | 71 | 65.9 |
| sub-image-anomaly-detection-with-deep-pyramid | 68.7 | 64.1 |
| self-supervised-out-of-distribution-detection-1 | 71.8 | 67.3 |
| cflow-ad-real-time-unsupervised-anomaly | 75.3 | 71.2 |
| minimaxad-a-lightweight-autoencoder-for | - | 86.1 |
| cutpaste-self-supervised-learning-for-anomaly | 62.8 | 60.2 |
| f-anogan-fast-unsupervised-anomaly-detection | 66.6 | 62.8 |